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A Tactical tool That Can Help You Increase Your Sales by 40%, Amazon and Netflix too use it.

Customers crave a personalized experience, one that anticipates their needs and feels like a tailored fit. Take it from Amazon and Netflix, those giants are crushing it with their hyper-personalized customer experiences (CX), and you can too. Did you know Amazon’s recommendation engine is estimated to account for 35% of its sales, and Netflix’s recommendation system helps them save around $1 billion annually by reducing customer churn? These statistics are a powerful testament to the impact of personalization.

Forget settling for generic interactions – it’s time to ditch the one-size-fits-all approach. Today’s savvy customers want to feel understood by the businesses they interact with. Amazon and Netflix are the heavy hitters showing us how it’s done, using AI and data to give people what they want, when they want it, on any screen they’re glued to.

So, how do we keep up and keep customers coming back for more? Let’s dive into some seriously powerful CX strategies that’ll make your brand the one everyone’s buzzing about:

Recommendation Engines: Your Personal Shopping Assistant

Think of recommendation engines like that friend who knows your style better than you do. They’re all about suggesting the perfect product at the perfect time, making customers feel like you’re reading their minds.

Picture this: You’re on an insurance company’s website, filling out a quote. Boom, the website suggests a bunch of plans that fit your needs like a tailored suit. No more sifting through endless options – just personalized choices that make your customers feel like they’ve hit the jackpot.

Here’s the playbook for using recommendation engines like a pro:

  1. Data is Key: The more you know about your customers – what they buy, what they like, who they are – the better your recommendations will be. Think of it like knowing their favorite pizza toppings.
  2. Know Your Audience: Don’t treat everyone the same. Divide your customers into groups based on what they have in common, so you can send them recommendations that really resonate.
  3. Pick the Right Engine: Not all recommendation engines are created equal. At Mantra Labs, we build these specifically for your industry, making sure you get the perfect fit for your business.

More Than Just Recommendations: The CX Power Play

Recommendation engines are awesome, but they’re just one part of the bigger CX picture. Here’s the rest of the playbook:

  • Omni-Channel Engagement: Your customers are all over the place – websites, apps, social media – so make sure you’re giving them personalized content everywhere they go. It’s like having a conversation that picks up right where it left off, no matter where you are.
  • AI & Machine Learning: Chatbots are old news. We’re talking AI-powered customer journey platforms that create interactions that feel like they were made just for each customer. It’s like having a personal shopper who knows what you want before you even do.
  • Customer-Centric Culture: Put your customers first, always. Build teams that work together to understand customer feedback and solve their problems.
  • Predictive Analytics: Use data to predict what your customers will do next. This helps you stop them before they leave or suggest products they’ll love.
  • AI-Driven Feedback: Go beyond surveys and use AI to analyze customer reviews and social media comments. This gives you deep insights into what they’re really thinking.

Don’t Just Take Our Word For It

At Mantra Labs, we’ve helped one of the largest insurance providers in the South Asian region supercharge their insurance game with our recommendation tools. Our solutions have:

  • Uncovered hidden customer behavior patterns
  • Reduced call volumes
  • Improved the SME owner experience
  • Increased digital customer engagement
  • Made operations smoother than ever

Ready to Take Your CX to the Next Level?

By using these strategies, you can create personalized customer experiences that’ll keep them coming back for more. Remember, the digital world is constantly changing, so you got to keep learning and adapting. With the right approach, you can transform your CX and leave the competition in the dust with Mantra Labs. Let’s make it happen! 

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Why Netflix Broke Itself: Was It Success Rewritten Through Platform Engineering?

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Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform. 

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Source: getport.io

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization:  Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

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